When router usage is defined ensure that router model is defined too (#481)

arch/tools/cli/config_generator.py

@@ -81,7 +81,10 @@ def validate_and_render_schema():
 
     updated_llm_providers = []
     llm_provider_name_set = set()
+    llms_with_usage = []
     for llm_provider in config_yaml["llm_providers"]:
+        if llm_provider.get("usage", None):
+            llms_with_usage.append(llm_provider["name"])
         if llm_provider.get("name") in llm_provider_name_set:
             raise Exception(
                 f"Duplicate llm_provider name {llm_provider.get('name')}, please provide unique name for each llm_provider"
@@ -137,6 +140,15 @@ def validate_and_render_schema():
             llm_provider["protocol"] = protocol
             llms_with_endpoint.append(llm_provider)
 
+    if (
+        len(llms_with_usage) > 0
+        and config_yaml.get("routing", {}).get("model", None) == None
+    ):
+        llms_with_usage_names = ", ".join(llms_with_usage)
+        raise Exception(
+            f"LLMs with usage found ({llms_with_usage_names}), please provide model in routing section in your arch_config.yaml file"
+        )
+
     config_yaml["llm_providers"] = updated_llm_providers
 
     arch_config_string = yaml.dump(config_yaml)

crates/brightstaff/src/main.rs

@@ -84,12 +84,7 @@ async fn main() -> Result<(), Box<dyn std::error::Error + Send + Sync>> {
     info!("listening on http://{}", bind_address);
     let listener = TcpListener::bind(bind_address).await?;
 
-    // if routing is null then return gpt-4o as model name
+    let model = arch_config.routing.as_ref().unwrap().model.clone();
-    //TODO: fail if routing is null
-    let model = arch_config
-        .routing
-        .as_ref()
-        .map_or_else(|| "gpt-4o".to_string(), |routing| routing.model.clone());
 
     let router_service: Arc<RouterService> = Arc::new(RouterService::new(
         arch_config.llm_providers.clone(),

crates/common/src/api/hallucination.rs

@@ -6,7 +6,6 @@ use crate::{
 };
 use serde::{Deserialize, Serialize};
 
-use super::open_ai::ContentType;
 
 #[derive(Debug, Clone, Serialize, Deserialize)]
 pub struct HallucinationClassificationRequest {